{"id":"https://openalex.org/W2538129186","doi":"https://doi.org/10.1109/iccv.2009.5459172","title":"Group-sensitive multiple kernel learning for object categorization","display_name":"Group-sensitive multiple kernel learning for object categorization","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2538129186","doi":"https://doi.org/10.1109/iccv.2009.5459172","mag":"2538129186"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081970753","display_name":"Jingjing Yang","orcid":"https://orcid.org/0000-0002-3414-0621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Yang","raw_affiliation_strings":["Chinese Academy and Sciences, China","National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, China","institution_ids":[]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397818","display_name":"Yuanning Li","orcid":"https://orcid.org/0000-0003-3277-0600"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanning Li","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lingyu Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Duan","raw_affiliation_strings":["National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology School of EE & CS, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081970753"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":16.4021,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":{"value":0.99337897,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.9136867523193359},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7392134666442871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7370638847351074},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7208645939826965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6075963377952576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5972691178321838},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4991111755371094},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.488979697227478},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48303326964378357},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4199427366256714},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.40809983015060425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3252149224281311},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31088805198669434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28979766368865967},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0715063214302063}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.9136867523193359},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7392134666442871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7370638847351074},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7208645939826965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6075963377952576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5972691178321838},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4991111755371094},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.488979697227478},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48303326964378357},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4199427366256714},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.40809983015060425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3252149224281311},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31088805198669434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28979766368865967},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0715063214302063},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.567.3737","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.567.3737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2009/iccv2009_jjyang_group-sensitive multiple kernel learning for object categorization.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W255846030","https://openalex.org/W1604938182","https://openalex.org/W1999693420","https://openalex.org/W2031823405","https://openalex.org/W2058605740","https://openalex.org/W2102680763","https://openalex.org/W2103658758","https://openalex.org/W2104978738","https://openalex.org/W2105464770","https://openalex.org/W2107034620","https://openalex.org/W2107743791","https://openalex.org/W2120369594","https://openalex.org/W2122808326","https://openalex.org/W2124386111","https://openalex.org/W2129156852","https://openalex.org/W2130556178","https://openalex.org/W2131743987","https://openalex.org/W2144502914","https://openalex.org/W2148596671","https://openalex.org/W2154054404","https://openalex.org/W2154462399","https://openalex.org/W2154683974","https://openalex.org/W2155904486","https://openalex.org/W2158001550","https://openalex.org/W2160254296","https://openalex.org/W2162880125","https://openalex.org/W2162915993","https://openalex.org/W2164304065","https://openalex.org/W2165315123","https://openalex.org/W2165828254","https://openalex.org/W2186094539","https://openalex.org/W2543453567","https://openalex.org/W4233135949","https://openalex.org/W6675751002","https://openalex.org/W6675806119","https://openalex.org/W6683181193","https://openalex.org/W6684138402","https://openalex.org/W7005276689"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W2157356416","https://openalex.org/W4291669689","https://openalex.org/W2153379791","https://openalex.org/W2001173190","https://openalex.org/W2295320501"],"abstract_inverted_index":{"In":[0,78],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,47,58,61,93,98],"group-sensitive":[6,81],"multiple":[7],"kernel":[8,40,64,76,82],"learning":[9],"(GS-MKL)":[10],"method":[11,118],"to":[12,37,45,96],"accommodate":[13],"the":[14,18,86,102,106],"intra-class":[15],"diversity":[16,103],"and":[17,32,104],"inter-class":[19],"correlation":[20],"for":[21,42,108],"object":[22,33,51],"categorization.":[23],"By":[24],"introducing":[25],"an":[26],"intermediate":[27],"representation":[28],"\u201cgroup\u201d":[29],"between":[30,100],"images":[31,56,67],"categories,":[34],"GS-MKL":[35,117],"attempts":[36],"find":[38],"appropriate":[39],"combination":[41],"each":[43,54,109],"group":[44,59],"get":[46],"finer":[48],"depiction":[49],"of":[50,63,75],"categories.":[52],"For":[53],"category,":[55],"within":[57],"share":[60],"set":[62],"weights":[65],"while":[66],"from":[68],"different":[69],"groups":[70],"may":[71],"employ":[72],"distinct":[73],"sets":[74],"weights.":[77],"GS-MKL,":[79],"such":[80],"combinations":[83],"together":[84],"with":[85],"multi-kernels":[87],"based":[88],"classifier":[89],"are":[90],"optimized":[91],"in":[92],"joint":[94],"manner":[95],"seek":[97],"trade-off":[99],"capturing":[101],"keeping":[105],"invariance":[107],"category.":[110],"Extensive":[111],"experiments":[112],"show":[113],"that":[114],"our":[115],"proposed":[116],"has":[119],"achieved":[120],"encouraging":[121],"performance":[122],"over":[123],"three":[124],"challenging":[125],"datasets.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":22}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}